GCP Data Platform Engineer - Cloud Analytics

Tenet Global Business Center, Inc.; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Tenet Global Business Center, Inc. is seeking a Cloud Engineer specialized in Data & Analytics to design, implement, and manage scalable cloud solutions on Google Cloud Platform.

You will translate business requirements into robust cloud architectures that enable data-driven decision-making and analytics initiatives. The ideal candidate has extensive experience architecting cloud-based data platforms, data warehousing, and optimized data pipelines for performance and reliability.

Qualifications

• Bachelor's degree in technology-related field or equivalent.
• Experience building and optimizing big data pipelines.
• Strong SQL and data warehouse design skills; exposure to BigQuery.
• Experience with scripting languages such as Scala, Java, and Python.

Responsibilities

• Architect end-to-end cloud solutions on GCP to support data and analytics workloads.
• Work closely with stakeholders to understand business requirements, data sources, and analytics goals.
• Design scalable, cost-effective, and secure data architectures.
• Develop data ingestion, transformation, and processing pipelines.
• Lead the implementation and configuration of GCP services.
• Collaborate with data engineers and analysts.
• Implement security controls and compliance standards.
• Provide technical leadership and mentorship.
• Align data initiatives with organizational goals.

Skills

Big data pipelines

SQL

Scala

Java

Python

Education

Bachelor's degree in technology-related field

Tools

Google BigQuery

Kafka

Spark

Airflow

Job description

Tenet Global Business Center, Inc. is seeking a Cloud Engineer specialized in Data & Analytics to design, implement, and manage scalable cloud solutions on Google Cloud Platform.

You will translate business requirements into robust cloud architectures that enable data-driven decision-making and analytics initiatives. The ideal candidate has extensive experience architecting cloud-based data platforms, data warehousing, and optimized data pipelines for performance and reliability.